| Temporal-coded deep spiking neural network with easy training and robust performance S Zhou, X Li, Y Chen, ST Chandrasekaran, A Sanyal Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11143 …, 2021 | 48 | 2021 |
| Deep scnn-based real-time object detection for self-driving vehicles using lidar temporal data S Zhou, Y Chen, X Li, A Sanyal IEEE Access 8, 76903-76912, 2020 | 27 | 2020 |
| Direct training based spiking convolutional neural networks for object recognition S Zhou, Y Chen, Q Ye, J Li arXiv preprint arXiv:1909.10837, 2019 | 8 | 2019 |
| Object detection based on lidar temporal pulses using spiking neural networks S Zhou, W Wang arXiv preprint arXiv:1810.12436, 2018 | 8 | 2018 |
| Temporal pulses driven spiking neural network for time and power efficient object recognition in autonomous driving W Wang, S Zhou, J Li, X Li, J Yuan, Z Jin 2020 25th International Conference on Pattern Recognition (ICPR), 6359-6366, 2021 | 6 | 2021 |
| Temporal pulses driven spiking neural network for fast object recognition in autonomous driving W Wang, S Zhou, J Li, X Li, J Yuan, Z Jin arXiv preprint arXiv:2001.09220, 2020 | 6 | 2020 |
| Spiking neural networks with single-spike temporal-coded neurons for network intrusion detection S Zhou, X Li 2020 25th International Conference on Pattern Recognition (ICPR), 8148-8155, 2021 | 5 | 2021 |
| A Spike Learning System for Event-driven Object Recognition S Zhou, W Wang, X Li, Z Jin arXiv preprint arXiv:2101.08850, 2021 | 1 | 2021 |
| Deep Spiking Neural Network with Temporal Coding S Zhou State University of New York at Binghamton, 2020 | | 2020 |
Xiaohua ( LiAssociate Professor of ECE, State University of New York at Binghamton在 binghamton.edu 的电子邮件经过验证
